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(such as random walk, recursive OLS-AR(1) models, recursive OLS with all predictive variables models) but also the Bayesian …
Persistent link: https://www.econbiz.de/10010777014
(such as random walk, recursive OLS-AR(1) models, recursive OLS with all predictive variables models) but also the Bayesian …
Persistent link: https://www.econbiz.de/10010711932
linear model (such as random walk) but also the Bayesian model averaging (BMA) model for examining possible predictors of the …’s financial stress index appear to be strong at almost all horizons and sub-periods. However, the forecasting prowess of the …
Persistent link: https://www.econbiz.de/10010891025
linear model (such as random walk) but also the Bayesian model averaging (BMA) model for examining possible predictors of the …’s financial stress index appear to be strong at almost all horizons and sub-periods. However, the forecasting prowess of the …
Persistent link: https://www.econbiz.de/10010891726
A practice that has become widespread and widely endorsed is that of evaluating forecasts of financial variability obtained from discrete time models by comparing them with high-frequency ex post estimates (e.g. realised volatility) based on continuous time theory. In explanatory financial...
Persistent link: https://www.econbiz.de/10010332964
A practice that has become widespread and widely endorsed is that of evaluating forecasts of financial variability obtained from discrete time models by comparing them with high-frequency ex post estimates (e.g. realised volatility) based on continuous time theory. In explanatory financial...
Persistent link: https://www.econbiz.de/10005082938
literature was found to have promising forecasting abilities, it is possible to further improve the performance if the … coefficient adjustment. With this calibration of the Kalman filter model the short-term out-ofsample forecasting accuracy can be …
Persistent link: https://www.econbiz.de/10011701312
literature was found to have promising forecasting abilities, it is possible to further improve the performance if the … coefficient adjustment. With this calibration of the Kalman filter model the short-term out-ofsample forecasting accuracy can be …
Persistent link: https://www.econbiz.de/10011700704
We explore whether modelling parameter time variation improves the point, interval and density forecasts of nine major exchange rates vis-a-vis the US dollar over the period 1976-2015. We find that modelling parameter time variation is needed for an accurate calibration of forecast confidence...
Persistent link: https://www.econbiz.de/10011490150
We explore whether modelling parameter time variation improves the point, interval and density forecasts of nine major exchange rates vis-a-vis the US dollar over the period 1976-2015. We find that modelling parameter time variation is needed for an accurate calibration of forecast confidence...
Persistent link: https://www.econbiz.de/10011489395